Evidence map›Paper›PMID 33452197›Full record

ArticleBMJ open2021

Description and prediction of outcome of drowning patients in New South Wales, Australia: protocol for a data linkage study.

Amy E Peden, Pooria Sarrami, Michael Dinh, Christine Lassen, Benjamin Hall, Hatem Alkhouri, Lovana Daniel, Brian Burns

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Drowning Among Children 1-4 Years of Age in California, 2017-2021.The western journal of emergency medicine · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Amy E PedenSchool of Population Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia a.peden@unsw.edu.au.ORCID 0000-0002-6424-1511
Pooria SarramiNSW Institute of Trauma and Injury Management, NSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0002-4034-1059
Michael DinhNSW Institute of Trauma and Injury Management, NSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0002-0086-455X
Christine LassenNSW Institute of Trauma and Injury Management, NSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0001-5552-2752
Benjamin HallNSW Institute of Trauma and Injury Management, NSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.
Hatem AlkhouriEmergency Care Institute, Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0002-5569-704X
Lovana DanielSouth Western Sydney Clinical School, University of New South Wales, Liverpool, New South Wales, Australia.ORCID 0000-0003-1241-6567
Brian BurnsThe University of Sydney, Sydney Medical School, Sydney, New South Wales, Australia.ORCID 0000-0002-8794-0710
UNSW Sydney · AUNew South Wales Institute of Psychiatry · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite being a preventable cause of death, drowning is a global public health threat. Australia records an average of 288 unintentional drowning deaths per year; an estimated annual economic burden of $1.24 billion AUD ($2017). On average, a further 712 hospitalisations occur due to non-fatal drowning annually. The Australian state of New South Wales (NSW) is the most populous and accounts for 34% of the average fatal drowning burden. This study aims to explore the demographics and outcome of patients who are admitted to hospitals for drowning in NSW and also investigates prediction of patients' outcome based on accessible data. METHODS AND ANALYSIS: This protocol describes a retrospective, cross-sectional data linkage study across secondary data sources for any person (adult or paediatric) who was transferred by NSW Ambulance services and/or admitted to a NSW hospital for fatal or non-fatal drowning between 1/1/2010 and 31/12/2019. The NSW Admitted Patient Data Collection will provide data on admitted patients' characteristics and provided care in NSW hospitals. In order to map patients' pathways of care, data will be linked with NSW Ambulance Data Collection and the NSW Emergency Department Data Collection. Finally patient's mortality will be assessed via linkage with NSW Mortality data, which is made up of the NSW Register of Births, Deaths and Marriages and a Cause of Death Unit Record File. Regression analyses will be used to identify predicting values of independent variables with study outcomes. ETHICS AND DISSEMINATION: This study has been approved by the NSW Population & Health Services Research Ethics Committee. Results will be disseminated through peer-reviewed publications, mass media releases and at academic conferences. The study will provide outcome data for drowning patients across NSW and study results will provide data to deliver evidence-informed recommendations for improving patient care, including updating relevant guidelines.

Indexed as

DrowningAdultAustraliaChildCross-Sectional StudiesHumansInformation Storage and RetrievalNew South WalesRetrospective Studiesaccident & emergency medicineadult intensive and critical carepaediatric intensive & critical carepublic healthtrauma management

Identifiers

PMID33452197
PMCPMC7813289
OpenAlexW3119425623

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.